Systems | Development | Analytics | API | Testing

March 2024

Generative AI in Call Centers: How to Transform and Scale Superior Customer Experience

Customer care organizations are facing the disruptions of an AI-enabled future, and gen AI is already impacting customer care organizations across use cases like agent co-pilots, summarizing calls and deriving insights, creating chatbots and more. In this blog post, we dive deep into these use cases and their business and operational impact. Then we show a demo of a call center app based on gen AI that you can follow along.

All You Need to Know About Data Completeness

Data completeness plays a pivotal role in the accuracy and reliability of insights derived from data, that ultimately guide strategic decision-making. This term encompasses having all the data, ensuring access to the right data in its entirety, to avoid biased or misinformed choices. Even a single missing or inaccurate data point can skew results, leading to misguided conclusions, potentially leading to losses or missed opportunities.

4 lessons from Kafka Summit London 2024

It was lovely to see so many of the community and hear about the latest data streaming initiatives at Kafka Summit this year. We always try to distill the sea of content from the industry’s premier event into a digestible blog post. This time we’ll do it slightly differently and summarize some broader learnings, not only from the sessions we saw, but the conversations we had across the two days.

Data Ingestion vs. ETL: Understanding the Difference

Working with large volumes of data requires effective data management practices and tools, and two of the frequently used processes are data ingestion and ETL. Given the similarities between these two processes, non-technical people seek to understand what makes them different, often using search queries like “data ingestion vs ETL”.

Tabular Reporting for NPrinting Users - Do More with Qlik

Join Michael Tarallo, along with special guests Product Manager Andrew Kruger and Principal Platform Architect Johnny Poole, for part 2 of Qlik Tabular Reporting. In this session, the focus shifts to the migration path for NPrinting users, exploring available utilities, migration paths and best practices for a seamless transition.

Special Episode: Fivetran and Databricks CEOs reveal the secret to AI

George Fraser, CEO and co-founder of Fivetran, and Ali Ghodsi, CEO and co-founder of Databricks, are building products that power the modern data stack. They offer an insider’s perspective on the hardest parts of building and deploying generative AI in the enterprise.

How to Search Your Cloud Data - With No Data Movement

Organizations are building data lakes and bringing data together from many systems in raw format into these data lakes, hoping to process and extract differentiated value out of this data. However, if you’re trying to get value out of operational data, whether on prem or in the cloud, there are inherent risks and costs associated with moving data from one environment to another.

What is the Augmented Consumer? Understanding Users of AI Analytics

The rise of AI-powered features in today’s analytics solutions has increasingly displaced our reliance on dashboards by making it easier for business people to analyze their data. With this rising paradigm shift, a new label has emerged: The augmented consumer. On a surface-level, the word ‘augmented’ may conjure up a variety of different interpretations. AI-based dashboard assistants? Natural language-led reporting?

Best CFO KPIs and Dashboards for the 2024 CFO

What is kpi in business? A CFO Key Performance Indicator (KPI) or metric is a quantifiable high level measure of financial performance. These KPIs can be considered a specific subset of financial KPIs, used to help a CFO make informed decisions that steer their company in the right direction. These performance metrics can also be used to measure a company’s financial performance relative to competitors in the same industry.

What is a Data Catalog? Features, Best Practices, and Benefits

A data catalog is a central inventory of organizational data. It provides a comprehensive view of all data assets in an organization, including databases, tables, files, and data sources. Efficiently managing large amounts of information is crucial for companies to stay competitive. This practice is especially applicable to large organizations with scattered data.

Snowflake Data Clean Rooms: Securely Collaborate to Unlock Insights and Value

In December 2023, Snowflake announced its acquisition of data clean room technology provider Samooha. Samooha’s intuitive UI and focus on reducing the complexity of sharing data led to it being named one of the most innovative data science companies of 2024 by Fast Company. Now, Samooha’s offering is integrated into Snowflake and launched as Snowflake Data Clean Rooms, a Snowflake Native App on Snowflake Marketplace, generally available to customers in AWS East, AWS West and Azure West.

Data Architecture and Strategy in the AI Era

At a time when AI is exploding in popularity and finding its way into nearly every facet of business operations, data has arguably never been more valuable. More recently, that value has been made clear by the emergence of AI-powered technologies like generative AI (GenAI) and the use of Large Language Models (LLMs).

Maximizing Efficiency: Streamlining Your Business with Advanced SFDC Strategies

If you’re navigating the complexities of CRM and business automation, SFDC could be the game-changer you need. With SFDC, or Salesforce.com, businesses access a suite of tools for customer relationship management, marketing automation, and analytics to streamline operations. This article offers a focused look at how implementing SFDC strategies can elevate your data handling, improve customer engagement, and protect your information, all while bolstering your sales and marketing efforts.

The Essential Role of a Data Steward in Modern Business Intelligence

At the intersection of data management and business strategy lies the data steward. Tasked with safeguarding data integrity and enabling informed business intelligence, data stewards are fundamental to modern organizations. They ensure data is clean, compliant, and utilized effectively. Our exploration will detail the crucial role of data stewardship in navigating and leveraging an enterprise’s data landscape.

Episode 5: Data democratization and readiness for AI | Powell Industries

The key to breaking down data silos and fostering innovation goes well beyond having the right technology. It’s the people and processes that truly drive change. Ajay Bidani, Data and Insights Manager at Powell Industries, shares his perspective on how a strong, inclusive data culture is fueling the manufacturer’s global success.

How to Unlock the Power of Event-Driven Architecture | Designing Event-Driven Microservices

An Event-Driven Architecture is more than just a set of microservices. Event Streams should represent the central nervous system, providing the bulk of communication between all components in the platform. Unfortunately, many projects stall long before they reach this point.

Snowflake Invests in Observe to Expand Observability in the Data Cloud

As organizations seek to drive more value from their data, observability plays a vital role in ensuring the performance, security and reliability of applications and pipelines while helping to reduce costs. At Snowflake, we aim to provide developers and engineers with the best possible observability experience to monitor and manage their Snowflake environment. One of our partners in this area is Observe, which offers a SaaS observability product that is built and operated on the Data Cloud.

Predict Known Categorical Outcomes with Snowflake Cortex ML Classification, Now in Public Preview

Today, enterprises are focused on enhancing decision-making with the power of AI and machine learning (ML). But the complexity of ML models and data science techniques often leaves behind organizations without data scientists or with limited data science resources. And for those organizations with strong data analyst resources, complex ML models and frameworks may seem overwhelming, potentially preventing them from driving faster, higher-quality insights.

Connecting Space and Data: NASA's Asteroid Dust Quest and AI Innovation

Perhaps it's the awe-inspiring films about space exploration (my personal favorite – Apollo 13) that evoke the image of NASA as a place buzzing with activity, filled with screens displaying data, charts, and ALWAYS a big countdown clock. However, one of NASA's most recent challenges may surprise you - the task of cracking open a billion-dollar canister filled with ancient asteroid dust.

Elevate Your HR Game with Data Integration

Human resource (HR) data integration connects your organization's disparate data sources, allowing them to "talk", which gives you clear insights into your company and its people resources. But how do you implement HR data integration? What are the challenges and benefits? Learn more about integrating HR data here.

What Can Possibly Go Wrong Without Data Privacy in Your Business?

Let's talk about something that might not be your favorite topic but is super important: data privacy and security. Now, I know it might sound like just another box to tick off, but hear me out. Ignoring data privacy in today's digital world is like forgetting to lock your doors in a busy neighborhood. Not the best idea, right? We previously discussed the importance of data privacy in analytics, let’s now look at the implications of lack thereof.

LLM Validation & Evaluation MLOps Live #27 with Tasq.ai

In this session, Yaron Haviv, CTO Iguazio was joined by Ehud Barnea, PHD, Head of AI at Tasq.ai and Guy Lecker ML Engineering Team Lead, Iguazio to discuss how to validate, evaluate and fine tune an LLM effectively. They shared firsthand tips of how to solve the production hurdle of LLM evaluation, improving LLM performance, eliminating risks, along with a live demo of a fashion chatbot that leverages fine-tuning to significantly improve the model responses.

Don't Get Left Behind in the AI Race: Your Easy Starting Point is Here

The ongoing progress in Artificial Intelligence is constantly expanding the realms of possibility, revolutionizing industries and societies on a global scale. The release of LLMs surged by 136% in 2023 compared to 2022, and this upward trend is projected to continue in 2024. Today, 44% of organizations are experimenting with generative AI, with 10% having already implemented it in operational settings. Companies must act now in order to stay in the AI Race.

Lenses 5.5 - Self-service streaming data movement, governed by GitOps

In this age of AI, the demand for real-time data integration is greater than ever. For many, these data pipelines should no longer be configured and deployed by centralized teams, but distributed, so that each owner creates their flows independently. But how to simplify this, whilst practicing good software and data governance? We are introducing Lenses 5.5.

insightsoftware Platform - Multi Environment Feature

Efficiency means doing things right. The multi-environment feature introduced in the insightsoftware Platform underlines this. It enables you to assign licenses per environment to a specific user, ensuring the most efficient distribution your licenses that suits your unique requirements.

Qlik AutoML Update - March 2024

Automated free text feature engineering uses sophisticated algorithms under the hood to allows far better prediction from free text fields. This complements the date feature engineering capability we released last year, which automatically parses dates into usable features. Organizations now have role-based access control for AutoML users. We’ve added two new user roles to support AutoML – experiment contributors and deployment contributors, which can be assigned to specific users or groups. With this, you can now control and limit access to AutoML to the right types of users.

Connecting to Salesforce Database in Astera Data Stack

In this video, we will learn how to seamlessly integrate Salesforce databases into Astera Data Stack for efficient data extraction and loading. This video provides step-by-step guidance on configuring the Salesforce Database connector. Learn the process of establishing a successful connection and leveraging Salesforce data within your dataflows.

Simplify Data Integration and Pipeline Creation I Astera's Data Pipeline Builder Demo

Discover Astera’s Data Pipeline Builder, the no-code solution for easy data integration in today's businesses. With its user-friendly drag-and-drop interface, integrating, cleaning, and transforming data has never been simpler. Watch our demo to see how Astera can automate your end-to-end data management lifecycle, boosting your organization's efficiency. Start watching to accelerate your data integration tasks!

Leveraging AI and Analytics in Your Data Privacy Program

In an age of rapid technological transformation, governments are playing regulatory catch-up as they try to keep pace with technological developments and the increasing amount of personal identifiable information (“PII”) generated by our every-day lives. Privacy laws regulating the use of PII continue to strengthen (Gartner estimates that while 10% of the world’s population was covered by comprehensive privacy laws in 2020, by year-end 2024 it will be 75%).

Insightsoftware Named Top AI-Powered Business Intelligence Provider

The results are in – Logi Symphony by insightsoftware has been named as a top business intelligence (BI) solution in Info-Tech’s latest Data Quadrant Report. The report names the top seven BI providers for midmarket and enterprise businesses. This year, Info-Tech has turned its focus to BI solutions that implement artificial intelligence (AI) to drive informed decision-making. The report includes data from 4,241 end-user reviews to find the top BI software providers of 2024.

16 Top Hospital KPIs for 2024 Reporting

A hospital key performance indicator (KPI) is a quantifiable measure that monitors the quality of healthcare provided by the hospital and measures the overall success of the business. Like many other service providers, hospitals depend on their customers (patients) to run their business. However, in order to thrive, they must also operate sustainably and mange costs. A successful hospital runs efficiently, provides life saving services and plays a valuable role in driving public health measures.

15 Best Non-Profit KPIs and Metric Examples for 2024 Reporting

What is a kpi? A non-profit key performance indicator (KPI) is a numerical measurement that gauges the ability of a non-profit organization in accomplishing its mission. Non-profit metrics quantify the organization’s many endeavors in extending its impact on society. The spirit of KPIs generated for a non-profit organization is not unlike a for-profit business.

Combine data across BigQuery and Salesforce Data Cloud securely with zero ETL

We are excited that bidirectional data sharing between BigQuery and Salesforce Data Cloud is now generally available. This will make it easy for customers to enrich their data use cases by combining data across different platforms securely, without the additional cost of building or managing data infrastructure and complex ETL (Extract, Transform, Load) pipelines.

10+ Government KPIs for 2024 Reporting

What is a key performance indicator? A government key performance indicator (KPI) is a quantifiable measure that the public sector uses to evaluate its performance. Government KPIs function like KPIs used by for-profit businesses — they demonstrate the organization’s overall performance and its accountability to its stakeholders. In more layman terms, public sector KPIs serve two important purposes.

Streamline Your Data: Master Your Integration with the NetSuite ODBC Driver

Need to connect to NetSuite’s rich data pools through your applications? The NetSuite ODBC driver bridges this gap. This article walks you through installation, configuration, and usage for optimal data integration, including troubleshooting tips for common issues you might encounter.

Cloudera's RHEL-volution: Powering the Cloud with Red Hat

As enterprise AI technologies rapidly reshape our digital environment, the foundation of your cloud infrastructure is more critical than ever. That’s why Cloudera and Red Hat, renowned for their open-source solutions, have teamed up to bring Red Hat Enterprise Linux (RHEL) to Cloudera on public cloud as the operating system for all of our public cloud platform images. Let’s dive into what this means and why it’s a game-changer for our customers.

Star Schema Vs. Snowflake Schema: 4 Key Differences

Organizations rely on high-performance data warehouses for storing and analyzing large amounts of data. An important decision in setting up a data warehouse is the choice between Star Schema vs. Snowflake Schema. The star schema simplifies the structure of a database by directly connecting dimension tables to a central fact table. The star shaped design streamlines data retrieval and analysis by consolidating related data points, thereby enhancing the efficiency and clarity of database queries.

Qlik's most underrated capabilities

Qlik is a vital and powerful analytics tool that’s used by companies across every sector, including gaming giant SEGA, and the company continues to improve its offerings, from SaaS to cloud solutions. With an ever-growing collection of capabilities, there are bound to be a few features that even the most expert Qlik users may not utilize. That’s why we’ve put together a list of the most underrated Qlik capabilities that every data master (and junior!) should know.

Introducing Spreadsheet Server's Biznet Conversion Tool

Experience seamless reporting transformation with Spreadsheet Server's Biznet Conversion Tool. In this video, discover how Biznet/XL Connect Customers can effortlessly convert BizSuperfunc formulas into.edq files, ensuring compatibility with Spreadsheet Server's GEXQ formulas. Follow along as we explore each step of the conversion process, from opening workbooks to reviewing detailed results. Say goodbye to compatibility issues and manual updates, and unlock the full potential of your reporting process. Watch now and take your reporting to the next level!

Introducing Angles Professional's Drill Through Feature

This video introduces the new Drill Through feature in Angles Professional, aimed at enhancing user experience and efficiency. Join us as we explore how this feature streamlines data analysis and visualization, empowering users to navigate seamlessly between visuals and gain deeper insights into their data.

Process, Store and Analyze JSON Data with Ultimate Flexibility

Javascript Object Notation (JSON) is becoming the standard log format, with most modern applications and services taking advantage of its flexibility for their logging needs. However, the great flexibility for developers quickly turns into complexity for the DevOps and Data Engineers responsible for ingesting and processing the logs. That’s why we developed JSON FLEX: a scalable analytics solution for complex, nested JSON data.

BigQuery vs. Redshift: Which One Should You Choose?

Considering BigQuery vs. Redshift for your data warehousing needs? This guide is for you. Both BigQuery and Redshift stand as leading cloud data warehouse solutions each offering a multitude of features catering to multiple use cases. Google’s BigQuery offers seamless scalability and performance within its cloud platform, while Amazon’s Redshift provides great parallel processing and tuning options.

How to Load Data from AWS S3 to Snowflake

According to a study by Statista, the cloud storage market was valued at $90.17 billion in 2022 and will reach a value of $472.47 billion by 2030. These figures indicate a growing shift toward cloud computing and data storage solutions. A typical scenario in modern data management involves data transfer from cloud storage to cloud-based computing platforms. Amazon’s Simple Storage Service (S3) is among the go-to options for the former, and businesses trust Snowflake for the latter.

The Sliding Doors for Managing Data

In this blog series, I am exploring the “sliding doors”, or divergent paths, for creating value with data across different use cases, practices, and strategies. In this post, I want to discuss how to generate value with Data Products. As I reviewed in my last blog, grabbing the door to the better path for managing your data isn’t just about solving your particular use case: it’s ultimately about delivering value for your business.

Snowflake Brings Gen AI to Images, Video and More With Multimodal Language Models from Reka in Snowflake Cortex

Snowflake is committed to helping our customers unlock the power of artificial intelligence (AI) to drive better decisions, improve productivity and reach more customers using all types of data. Large Language Models (LLMs) are a critical component of generative AI applications, and multimodal models are an exciting category that allows users to go beyond text and incorporate images and video into their prompts to get a better understanding of the context and meaning of the data.

Predicting the Generative AI Revolution Requires Learning From Our Past

Having frequently worked with governments around the world over the course of my career, I’ve had all kinds of discussions about the global impact of generative AI. Today, I’m publicly wading into those waters to deliver my perspective, and my opinion is that … it’s incredibly hard to predict the future. Done. Wrapped up this entire post in a single sentence.

6 Ways Qlik Can Improve Databricks Performance and AI Initiatives

Data engineers and architects are being asked to do more with their enterprise data than ever before. Yet, the knowledge gap between what businesses want to do with data and how they can accomplish it is growing daily—especially considering today's AI hype cycle. With all that noise in the market, it's easy to see how organizations struggle to keep pace with innovation.

The Modern Data Streaming Pipeline: Streaming Reference Architectures and Use Cases Across 7 Industries

Executives across various industries are under pressure to reach insights and make decisions quickly. This is driving the importance of streaming data and analytics, which play a crucial role in making better-informed decisions that likely lead to faster, better outcomes.

Data Integration in the Life Sciences: Eliminate Data Silos for Good

In the life sciences industry, where breakthroughs in research and healthcare are fueled by data, data silos can be a big problem. Data silos might be caused by things like legacy systems, departmental divisions, disparate data formats, or lack of interoperability standards. Data silos can manifest at any point in the product lifecycle and make it hard for the right people to access and use the information they need, when they need it.

What Is Data Governance and Why It Matters?

Data governance refers to the strategic management of data within an organization. It involves developing and enforcing policies, procedures, and standards to ensure data is consistently available, accurate, secure, and compliant throughout its lifecycle. At its core, data governance aims to answer questions such as.

Demystifying Data Strategy with Ehrar Jameel #datastrategy

Join Ehrar Jameel, Head of Data and Analytics, as he demystifies the concept of data strategy in this enlightening snippet from our Art of Data Leadership series. In this segment, Ehrar delves into the fundamental question: What is a data strategy? Ready to delve deeper into the world of data leadership? Click here for the full Art of Data Leadership playlist and gain invaluable insights from Ehrar and other industry experts.

Set your Data in Motion with Confluent on Google Cloud

Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Confluent’s cloud-native offering is the foundational platform for data in motion – designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can meet the new business imperative of delivering rich, digital front-end customer experiences and transitioning to sophisticated, real-time, software-driven backend operations.

Achieve faster time to value with data observability and FinOps for BigQuery

Right now, 88% of companies surveyed are failing to achieve optimal price/performance for their analytics workloads. Why? They don’t have the staff, their skilled engineers spend too much time doing toilsome work, and optimizing data workloads for performance and efficiency. With this in mind, Unravel is hosting a virtual event to help you leverage Unravel to achieve productivity, performance, and cost efficiency with BigQuery.

Confluent announces general availability of Confluent Cloud for Apache Flink®, simplifying stream processing to power next-gen apps

Confluent Cloud for Apache Flink®, a leading cloud-native, serverless Flink service is now available on AWS, Google Cloud, and Microsoft Azure. Confluent's fully managed, cloud-native service for Flink helps customers build high-quality data streams for data pipelines, real-time applications, and analytics.

Build, Connect, and Consume Intelligent Data Pipelines Seamlessly and Securely

We’re excited to share the latest and greatest features on Confluent Cloud, in our first launch of 2024. This Cloud Launch comes to you from Kafka Summit London, where we talked about the latest updates highlighted in our launch, including serverless Apache Flink®, some exciting pricing changes, updates to connectors, and more! We also shared our vision for a future offering, Tableflow.

Confluent Cloud for Apache Flink Is Now Generally Available

Last year, we announced our plan to build a cloud-native Apache Flink® service to meet the growing demand for scalable and efficient stream processing solutions in the cloud. Today, we're thrilled to announce the general availability of Confluent Cloud for Apache Flink across all three major clouds. This means that you can now experience Apache Kafka® and Flink as a unified, enterprise-grade platform to connect and process your data in real time, wherever you need it.

Introducing Tableflow

We’re excited to talk about our vision for Tableflow, which makes it push-button simple to take Apache Kafka® data and feed it directly into your data lake, warehouse, or analytics engine as Apache Iceberg® tables. Making operational data accessible to the analytical world is traditionally a complex, expensive, and brittle process and we believe we can do better to unify the operational and analytical estates.

From Theory to Practice: Real-World Applications of Cloud Platform Integration

Many companies talk about cloud integration in a theoretical way. But cloud technologies aren’t theoretical. They’re a rapidly growing segment of technology that’s changing the way businesses operate. In the following article, we move from theory to practice so you can have a more realistic vision of what to expect when you move more of your on-site tech to the cloud.

Open Source Fractional GPUs for Everyone, Now Available from ClearML

If you’ve been following our news, you know we just announced free fractional GPU capabilities for open source users, enabling multi-tenancy for NVIDIA GPUs and allowing users to optimize their GPU utilization to support multiple AI workloads as part of our open source and free tier offering.

How to Add a 'Back to Top' Button to Your Yellowfin Dashboard

Welcome back to Yellowfin Japan’s ‘How to?’ blog series! In our previous blog, we went through how to create big number and vertical column charts in Yellowfin, and the many different charting options available in Yellowfin Canvas. Before we re-visit our regular series, we want to share a shorter dashboard walkthrough.

Streams Forever: Kafka Summit London 2024 Keynote | Jay Kreps, Co-founder & CEO, Confluent

Join the Confluent leadership team as they share their vision of streaming data products enabled by a data streaming platform built around Apache Kafka. Jay Kreps, Co-creator of Apache Kafka and CEO of Confluent, will present his vision of unifying the operational and analytical worlds with data streams and showcase exciting new product capabilities. During this keynote, the winner and finalists of the $1M Data Streaming Startup Challenge will showcase how their use of data streaming is disrupting their categories.

Exploring Apache Flink 1.19: Features, Improvements, and More

The Apache Flink® community unveiled Apache Flink version 1.19 this week! This release is packed with numerous new features and enhancements. In this blog post, we'll spotlight some of the standout additions. For a comprehensive rundown of all updates, don't forget to review the release notes.

Why a Solid Data Foundation Is the Key to Successful Gen AI

Think back just a few years ago when most enterprises were either planning or just getting started on their cloud journeys. The pandemic hit and, virtually overnight, the need to radically change ways of working pushed those cloud journeys into overdrive. Cost-effective adaptability was essential. And the companies that could scale up or scale down quickly were the ones that navigated the pandemic successfully. Migrating to the cloud made that possible.

New in Databox: Safeguard Your Data With Advanced Security Settings

As your company grows, so do the challenges of managing user access and data security. For many of us, it’s a common situation – the account that started with a few key players now has multiple users with different access levels. New team members join, roles evolve, team members move on to new opportunities, and sometimes external players (like contractors or clients) need temporary access to your account.

Top 7 AWS ETL Tools in 2024

Amazon Web Services (AWS) ETL refers to a cloud-based set of tools and services that help extract data from different sources, make it usable, and store it in a way that makes it easy to analyze and make decisions based on it. AWS ETL tools offer a unique advantage for businesses seeking to streamline their data processes. These tools are efficient, scalable, and adaptable, making them ideal for a wide range of industries, from healthcare and finance to retail and beyond.

Automate Tax Form Data Extraction in 5 Easy Steps

A Smartsheet report found that over 40% of workers spend at least a quarter of their workweek manually extracting data. Tax specialists in many organizations spend hours or even days sorting through piles of paper or PDF documents, looking for relevant information, and entering it into spreadsheets or databases. That’s a lot of time and money wasted on a tedious and error-prone process. Fortunately, there is a better way to handle tax form data extraction.

Confluent Cloud for Apache Flink | Simple, Serverless Stream Processing

Stream processing plays a critical role in the infrastructure stack for data streaming. Developers can use it to filter, join, aggregate, and transform their data streams on the fly to power real-time applications and streaming data pipelines. Among stream processing frameworks, Apache Flink has emerged as the de facto standard because of its performance and rich feature set. However, self-managing Flink (like self-managing other open source tools like Kafka) can be challenging due to its operational complexity, steep learning curve, and high costs for in-house support.

The Confluent Q1 '24 Launch

The Confluent Q1 ’24 Launch is packed with new features that enable customers to build, connect, and consume intelligent data pipelines seamlessly and securely Our quarterly launches provide a single resource to learn about the accelerating number of new features we’re bringing to Confluent Cloud, our cloud-native data streaming platform.

ThoughtSpot's Next Chapter

Over the course of my career, I’ve had the opportunity to found and lead multiple technology companies with great teams. These companies have redefined their industries and empowered customers to work in different, better ways. At the core of these companies, however, has been a constant mission. A purpose. A north star that guides us over multiple decades.

What Is Data Reporting and How to Create Data Reports for Your Business

According to Gartner’s prediction, 90% of organizations will consider information the most valuable asset a business may have. And where does this information come from? Here’s a magic word – data. Even though many companies report making important decisions based on their gut feeling, 85% of them would like to improve the ways they use data insights to make business decisions.

Unpacking the Differences between AWS Redshift and AWS Athena

On top of their industry-leading cloud infrastructure, Amazon Web Services (AWS) offers more than 15 cloud-based analytics services to satisfy a diverse range of business and IT use cases. For AWS customers, understanding the features and benefits of all 15 AWS analytics services can be a daunting task - not to mention determining which analytics service(s) to deploy for a specific use case.

Enhancing Your Data Management with XML Formatters

In the realm of data integration and management, effectively handling XML files is paramount. The structure and readability of XML (Extensible Markup Language) play a critical roles in data exchange and configuration across various applications and systems. This is where an XML formatter becomes indispensable. By optimizing the readability and structure of XML documents, an XML formatter ensures seamless data integration and management processes.

Why You Need GPU as a Service for GenAI

GPU as a Service (GPUaaS) serves as a cost-effective solution for organizations who need more GPUs for their ML and gen AI operations. By optimizing the use of existing resources, GPUaaS allows organizations to build and deploy their applications, without waiting for new hardware. In this blog post, we explain how GPUaaS as a service works, how it can close the GPU shortage gap, when to use GPUaaS and how it fits with gen AI.

A Stitch in Time: How Jet Analytics Boosts Microsoft Fabric Time-to-Value

Microsoft recently introduced a comprehensive analytics solution for its enterprise customers, Microsoft Fabric. The solution offers data movement, data science, real-time analytics, and business intelligence within a single platform. Microsoft Fabric offers a unified platform for data engineering, science, and analytics, integrating data from Power BI, Azure Synapse, and Azure Data Factory, and using open storage for accessibility and portability.

4 Key Types of Event-Driven Architecture

Adam Bellemare compares four main types of Event-Driven Architecture (EDA): Application Internal, Ephemeral Messaging, Queues, and Publish/Subscribe. Event-Driven Architectures have a long and storied history, and for good reason. They offer a powerful way to build scalable and decoupled architectures. But thanks to its long history, people often have different ideas of what EDA means depending on when they first encountered this architecture.

Simplifying EDI Data Mapping

Struggling to ensure accurate and efficient data exchange? EDI data mapping is the answer to streamlining your business’s communication pipeline. This indispensable process converts data into universally recognizable formats for seamless transactions with trading partners. Discover how to implement EDI data mapping effectively with our comprehensive guide, designed to give you the edge in today’s data-driven marketplace.

Minimize Tech Debt Risk with Embedded BI

Tech debt is the cost of choosing quick solutions over better ones, requiring future rework. It is a fact of life for developers–when work piles up and deadlines approach, you prioritize what’s most important. In the short term, taking the easy road keeps your release schedule on track and your applications running smoothly, at least on the surface.

The State of AI Infrastructure at Scale 2024

In our latest research, conducted this year with AIIA and FuriosaAI, we wanted to know more about global AI Infrastructure plans, including respondents’: 1) Compute infrastructure growth plans 2) Current scheduling and compute solutions experience, and 3) Model and AI framework use and plans for 2024. Read on to dive into key findings! Download the survey report now →

API Generation: A Better Way of Snowflake Data Extraction for Data Products

Organizations are constantly seeking more efficient ways to extract, transform, and load (ETL) data into their data warehouses. Snowflake, is one of the leaders in cloud data warehousing, has traditionally recommended ETL/ELT processes for data ingestion and extraction. However, for organizations building internal data products, there is a new kid on the block: API generation. Here’s the key things to know from this article.

How to Evolve your Microservice Schemas | Designing Event-Driven Microservices

Schema evolution is the act of modifying the structure of the data in our application, without impacting clients. This can be a challenging problem. However, it gets easier if we start with a flexible data format and take steps to avoid unnecessary data coupling. When we find ourselves having to make breaking changes, we can always fall back to creating new versions of our APIs and events to accommodate those changes.

What Is KPI Reporting? KPI Report Examples, Tips, and Best Practices

We’re constantly bombarded by data points and it takes real effort to make sense of them. While having a lot of information is a good thing, it’s easy to get overwhelmed and miss what’s really important. Businesses especially need to be able to sort the wheat from the chaff and assess their data accurately. But, how do you go about this exactly?

Mapbox Snowflake Native App Opens Geospatial Analytics to New Audiences

Geospatial data can give a business a competitive edge — especially when it’s combined with the company’s own data resources. Considering a new store location? You’ll want to analyze not just where your nearest competitors and potential customers are, but also retail footfall numbers, historical traffic patterns, distance from distribution centers, environmental factors, potential delivery times to customers and more. You need geospatial data to make it all happen.

Streamlining Financial Systems with BAI File Integration

Understanding BAI file integration is essential for financial experts looking to optimize data management and reconciliation across banking platforms. Our guide demystifies integrating BAI files into your financial systems, exploring the techniques, benefits, and best practices for a smooth transition that can save time and reduce errors.

How Embedded Analytics Drives Product-Led Growth

Achieving product-led growth (PLG) is a continuous goal for independent software vendors (ISVs) and enterprises aiming to scale efficiently and sustainably. The challenge is differentiating your product enough in a crowded market to retain users, and unlock new revenue streams. Traditional approaches to product-led growth often fall short in meeting the dynamic needs of today's data-driven users, who seek immediate, actionable insights within the applications they use.

The 23 Best Keyword Tracking Tools (According to 107 SEOs)

Do you know if your keyword research and optimization strategy are working? Keywords are a fundamental part of SEO, and as such, you need to know how they’re performing. For that, you need to use the right tools. We’ve asked 107 SEOs about the best keyword tracking tools. Here is what they recommend.

How Financial Services and Retail Companies Are Accelerating their Data, Apps and AI Strategy in the Data Cloud

Last year, we held our first Accelerate event, to explore industry trends, data and technology innovations, and data strategy case studies in financial services. This year, we are expanding to five industry events, featuring leaders in financial services; retail and consumer goods; manufacturing; media, advertising and entertainment; and healthcare and life sciences. Accelerate Financial Services and Accelerate Retail are one-day virtual events brought to you by Microsoft.

Countly's Framework for Ensuring HIPAA Compliance in Healthcare Analytics

In certain sectors, data is not just valuable—it's SACRED. This is especially true in healthcare, where the stakes are incredibly high and the need for precise measures is paramount. In the healthcare sector, data is not just any asset; it's a highly sensitive compilation of patient information that demands the highest levels of privacy, security, and accessibility.

Snowflake ETL Tools: Top 7 Options to Consider in 2024

Snowflake has restructured the data warehousing scenario with its cloud-based architecture. Businesses can easily scale their data storage and processing capabilities with this innovative approach. It eliminates the need for complex infrastructure management, resulting in streamlined operations. According to a recent Gartner survey, 85% of enterprises now use cloud-based data warehouses like Snowflake for their analytics needs.

The Snowflake Government & Education Data Cloud

In order to deliver on their missions, public agencies and departments must modernize IT to improve citizen services, streamline operational inefficiencies, drive research and innovation, and enable data collaboration across and beyond organizational lines. Unfortunately, the ability of public sector organizations to generate value from data is hindered by several challenges, including technical delays caused by legacy IT infrastructure, policy roadblocks, and institutional status quos. The public sector needs a protected, scalable, and flexible platform to centralize, govern, and securely share mission-critical data.

Astera EDI Mapping and Processing Demo

Astera EDI: Streamline Your EDI Mapping and Processing - Discover how Astera EDIConnect empowers businesses to seamlessly build, parse, and process EDI documents with trading partners without any coding required. Learn how our intuitive, no-code platform can automate your EDI transactions, ensuring data quality, security, and efficient partner communication. From healthcare to retail, see how industries benefit from our scalable, enterprise-ready EDI solution.

Run Workflow Task Object in Astera Data Stack

In this video, we will learn the functionality of the Run Workflow task within Astera Data Stack. Learn how to seamlessly integrate nested workflows, enabling the execution of multiple workflows within a single workflow. Discover how to configure the Run Workflow task to execute nested workflows sequentially or in parallel, optimizing workflow management and automation.

Calumo Demo Flyover

Calumo from insightsoftware is an all in one budgeting, forecasting, reporting, and dashboard tool for all of your XP and A needs. Whether it's financial dashboards or dashboards by product, experience guided analytics, giving people instant access to the data they need, such as this profit and loss. Calumo gives near real time access to your actual data, as well as the capability to plan.

What is a Kafka Consumer and How does it work?

Now that your data is inside your Kafka cluster, how do you get it out? In this video, Dan Weston covers the basics of Kafka Consumers: what consumers are, how they get your data flowing, and best practices for configuring consumers in a real-time data streaming system. You will also learn about offsets, consumer groups, and partition assignment.

Best Practices for Enhancing Claims Processing Efficiency

In the insurance industry, the claims process plays a vital role in shaping an insurer's reputation, customer satisfaction, and financial performance. However, this process is primarily characterized by the substantial volumes of unstructured data that insurers must adeptly handle and leverage to enhance the customer journey and streamline claims lifecycle management.

Sphere Entertainment And Hitachi Vantara Reveal New Details On Powering High-resolution Video Content At Sphere

Hitachi Vantara helps stream immersive content on Sphere's 160,000 square-foot interior LED display and 580,000 square-foot Exosphere. Hitachi Vantara's software technology processes Sphere's original content with speed and reliability.

How to Calculate Growth Rates in SaaS: Start with These 12 Growth Metrics

There’s nothing businesses desire more than growth. Your growth rate is a telling indicator of how far you’ve come in business and how soon you’ll be able to break even on investments. And if your company is shooting for an exit soon, your growth rate can be the difference between a few hundred thousand vs millions in investment dollars. With SaaS, the stakes are even higher.

AI and RAG with Gemma, Ollama, and Logi Symphony

Local LLMs are becoming mainstream with sites like HuggingFace promoting open sharing of trained LLMs. These LLMs are often very small but still extremely accurate, especially for domain-specific tasks like medicine, finance, law, and others. Gemma is a multi-purpose LLM and, while small, is competitive and accurate. Local LLMs also have the advantage of being completely run inside your own environment.

Workplace Claims: A Close Look at the Importance of Quick Settlements

Workplace claims are legal actions or complaints that employees set forth against their employers due to violations of employment laws or contractual agreements. In recent times, employees feel encouraged to speak up for their rights with no workplace harassment, discrimination or unjust treatment. This increased awareness has raised legal standards and regulatory frameworks and thus, employees feel more empowered to report instances of harassment and discrimination.

Navigating AI-Driven Claims Processing

95% of insurers are currently accelerating their digital transformation with AI-driven claims processing. Traditionally, this process involved manual steps such as claim initiation, data entry, validation, decision-making, and payout, consuming significant time and resources. However, the introduction of AI has replaced tedious manual work, enabling companies to streamline their tasks efficiently.

A Simple Guide to Medical Insurance Claims

Insurance companies and third-party administrators are increasingly turning to automated data extraction to expedite the processing of medical insurance claims. This approach serves as a better alternative to time-intensive manual claim management. Leveraging AI technology allows them to efficiently extract crucial data from documents, eliminating manual data entry errors and significantly reducing processing times.

Establishing A Robust Data Foundation To Maximize The Benefits Of Gen AI

Newly appointed Snowflake CEO Sridhar Ramaswamy joins Snowflake's Director of Engineering Mona Attariyan and "Data Cloud Now" anchor Ryan Green to discuss the need for organizations to prepare themselves to take full advantage of Gen AI by implementing a carefully developed data strategy that eliminates data silos and promotes data sharing while protecting data privacy.

Dashboard design: 5 essential tips and considerations for 2024

A beautiful dashboard requires careful consideration for the audience throughout its design. Here are 5 essential considerations and tips for better looking dashboards. For many people, it can be hard to interpret data if it isn’t presented in a simplified way. They get cognitive overload, intimidated by what’s on screen, or misinterpret what you intend to communicate. Often, they may not use dashboards for their work altogether.

How Financial Services Should Prepare for Generative AI

It’s no surprise that ever since ChatGPT’s broader predictive capabilities were made available to the public in November 2022, the sprawl of stakeholder capitalization on large language models (LLMs) has permeated nearly every sector of modern industry, accompanied or exacerbated by collective fascination. Financial services is no exception. But what might this transformation look like, from practical applications to potential risks?

How to Document Your REST API Like a Pro

REST API is an application programming interface that continues to grow in popularity due to its flexibility and scalability. In this detailed guide, we will outline how to document your REST API like a pro, guiding you through the process clearly and concisely to make things as easy as possible. From the basics, what you need to include, and all the way to the tips and tricks, we will provide everything you need to know to create perfect documentation.

ETL Testing: Processes, Types, and Best Practices

ETL testing is a set of procedures used to evaluate and validate the data integration process in a data warehouse environment. In other words, it’s a way to verify that the data from your source systems is extracted, transformed, and loaded into the target storage as required by your business rules. ETL (Extract, Transform, Load) is how data integration tools and BI platforms primarily turn data into actionable insights.

Navigating Workplace Accident Claims with Astera

The U.S. Bureau of Labor Statistics reports that the incidence rate of nonfatal workplace accidents has decreased over the years, which can be attributed to the implementation of preventive measures in private industry. Despite this positive trend, companies deal with large volumes of unstructured data that demand effective management. Addressing these complexities is easier with Astera’s unstructured data extraction solution.

Exploring The Benefits Of Elysium Analytics's Open Data Model

"Powered by Snowflake" host Phoebe He sits down with Satish Abburi, Founder and CTO of Elysium Analytics, to discuss his company's modern log analytics platform, which seamlessly offers scalable search, security, and observability solutions powered by open-source tools and the Snowflake Data Platform. For more information about Elysium Analytics, go to: To connect with Satish Abburi, go to.

Lean Team, Big Data: SalesRabbit's Path to Success

In today's fast-paced digital world, an efficient data stack is the key to staying ahead. Let's unravel the journey of SalesRabbit through its data landscape, in which they achieve remarkable results with a lean team and unlock the potential of their multi-tenant databases. Giovanna, Analytics Engineer of SalesRabbit and Daniel, CRO of Hevo Data guide us through their experience, from understanding their unique data requirements to selecting the perfect toolset tailored to their needs, budget, and goals.

Gen AI for Customer Service Demo

Iguazio would like to introduce two practical demonstrations showcasing our call center analysis tool and our innovative GenAI assistant. These demos illustrate how our GenAI assistant supports call center agents with real-time advice and recommendations during customer calls. This technology aims to improve customer interactions and boost call center efficiency. We're eager to share how our solutions can transform call center operations.

Government's Cybersecurity Regulatory Framework Expands to Healthcare and Other Industries

Cyberattacks are devastating, especially when they derail real-world critical services like healthcare. An especially troubling attack field is ransomware: In 2022, 66% of U.S. hospitals were targeted in ransomware attacks, an increase of almost 50% from 2021, and 289 hospitals were affected by successful ransomware attack incidents. Healthcare organizations paid the ransom in about 61% of ransomware incidents, the highest rate of any industry.

insightsoftware Wins Dresner Technology Innovation Award for Embedded Business Intelligence

Recognized for the third year in a row, insightsoftware continues meeting demands for sophisticated data-driven insights within customer applications RALEIGH, N.C. – March 6, 2024 – insightsoftware, the most comprehensive provider of solutions for the Office of the CFO, today announced it has been named a winner for Embedded Business Intelligence (BI) in the 2023 Technology Innovation Awards by Dresner Advisory Services.

Driving Profitability through Cloud Adoption

What does it take for an architecture, engineering, or construction business to be profitable? Many look toward aggressive growth and expansion, either by geography or acquisition or both. However, growth requires significant spending on resources from new employees to acquisitions, and it takes time to see a return on your investment.

Automated Claims Processing: A Comprehensive Guide

Claims processing is a multi-faceted operation integral to the insurance, healthcare, and finance industries. It’s a comprehensive procedure that involves carefully examining a claim. Claim processing is not a single-step process; instead, it involves multiple stages, each serving as a critical control point to ensure the accuracy and fairness of the claim resolution.

How Apps Bring Gen AI & LLMs To Life

In this conversation with Snowflake's Christian Kleinerman, Amanda Kelly, and Adrien Treuille, "Data Cloud Now" anchor Ryan Green discusses the origins of Streamlit, its exponential growth as an application development tool since being acquired by Snowflake, and the important role it is playing in the development of machine learning models across all industries. This wide-ranging conversation also explores the ways Gen AI and LLMs will transform the application development process and touches on the role the Open Source community will play in that transformation.

Snowflake Ventures Invests in Landing AI, Boosting Visual AI in the Data Cloud

As Large Language Models are revolutionizing natural language prompts, Large Vision Models (LVMs) represent another new, exciting frontier for AI. An estimated 90% of the world’s data is unstructured, much of it in the form of visual content such as images and videos. Insights from analyzing this visual data can open up powerful new use cases that significantly boost productivity and efficiency, but enterprises need sophisticated computer vision technologies to achieve this.

B2B Integration: Securing Your Data

In an era where data is a critical business asset, securing it in B2B integration scenarios is more important than ever. This article explores the essential strategies and technologies for robust data security in B2B contexts. Data is a critical asset for businesses, which makes securing it during B2B integration more important than ever. This article will explore the best practices and tools that can aid in robust data security. Here are the 5 key takeaways from our B2B integration article.

Simplifying BI pipelines with Snowflake dynamic tables

Managing complex data pipelines is a major challenge for data-driven organizations looking to accelerate analytics initiatives. While AI-powered, self-service BI platforms like ThoughtSpot can fully operationalize insights at scale by delivering visual data exploration and discovery, it still requires robust underlying data management. Now, that’s changing. Snowflake's new dynamic tables feature redefines how BI and analytics teams approach data transformation pipelines.

A Closer Look at The Next Phase of Cloudera's Hybrid Data Lakehouse

Artificial Intelligence (AI) is primed to reshape the way just about every business operates. Cloudera research projected that more than one third (36%) of organizations in the U.S. are in the early stages of exploring the potential for AI implementation. But even with its rise, AI is still a struggle for some enterprises. AI, and any analytics for that matter, are only as good as the data upon which they are based. And that’s where the rub is.

Gen AI And LLMs Will Transform The Enterprise

Snowflake's Mona Attariyan, Director of Engineering, leads this conversation with Snowflake's Sunny Bedi, CIO and CDO, and Jennifer Belissent, Principal Data Strategist, about the impact Gen AI and LLMs will have on enterprises. Topics covered range from the impact on employee productivity, the personalization of the customer experience, the opportunities for data monetization. and more.

Metadata Management & Data Governance with Cloudera SDX

In this article, we will walk you through the process of implementing fine grained access control for the data governance framework within the Cloudera platform. This will allow a data office to implement access policies over metadata management assets like tags or classifications, business glossaries, and data catalog entities, laying the foundation for comprehensive data access control.

Gen AI And LLMs Will Change Our Lives Profoundly

How will Gen AI and LLMs impact the nature of people's jobs and worker productivity? "Data Cloud Now" anchor Ryan Green kicked off the Data and AI Predictions 2024 event in January by discussing that topic with Snowflake's CEO Sridhar Ramaswamy and Mona Attariyan, Director of Engineering. The conversation also covers the potential for AI to generate misinformation and the need to establish ethical guardrails for the technology.

Geodis | Revolutionizing Global Logistics with Data

Explore how Geodis, a global logistics powerhouse, stays ahead of the curve in an ever-changing industry. Witness how they leverage real-time data and innovative solutions from Cloudera to streamline operations, enhance visibility, and exceed customer expectations, propelling their business forward in a world that never stops moving.

SFTP Setup: Securing Your File Transfers

Data integration is a vital practice for organizations seeking to leverage the wealth of information available to them. To achieve this, it's crucial to establish a seamless method of sending data from multiple sources to a centralized repository, such as a data warehouse. One commonly employed solution is SFTP (Secure File Transfer Protocol). In this comprehensive guide, we'll delve into the details of SFTP, explaining what it is and how to configure it securely for file transfers.

Best 10 Free Datasets for Manufacturing [UPDATED]

The manufacturing industry can benefit from AI, data and machine learning to advance manufacturing quality and productivity, minimize waste and reduce costs. With ML, manufacturers can modernize their businesses through use cases like forecasting demand, optimizing scheduling, preventing malfunctioning and managing quality. These all significantly contribute to bottom line improvement.

Oracle vs MySQL: An In-Depth Comparison of Database Titans

Both MySQL and Oracle provide the same architecture and use the relational model, and both offer many standard features such as indexing, vertical scalability, and support for popular operating systems. However, there are some critical differences between the two tools. Deciding between them can shape an enterprise’s data management and directly impact its success.

#12 Kafka Live Stream | HTTP Sink Connector & Business Automation with Make

See the new Lenses Kafka to HTTP Sink Connector in action with Lenses.io and @itsmake. In this 30 minute session, we show you how to trigger APIs that automate your business processes: a message in Kafka calls a Make workflow, then triggering an automation in Salesforce.